Identification of Inhomogeneous/Short Sequences in the Chronic Hepatitis Dataset Based on the Variance of Sampling Interval
نویسندگان
چکیده
This paper presents a criterion for identifying inhomogeneous sequences in time-series medical datasets based on the variance of sampling interval, duration of data acquisition and number of data points. After removing inhomogeneous and short sequences from the data set, we performed the analysis of the hepatitis dataset again and obtained the following interesting findings regarding the stage of liver fibrosis and the speed of platelet (PLT) decrease: (1) In F2 cases, PLT reaches abnormally low level faster than in F3, (2) In type C hepatitis patients who did not receive the interferon (IFN) treatment, PLT reaches abnormally low level slower than in those who received the IFN treatment for all of the fibrosis stages.
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تاریخ انتشار 2004